IUnivariateDistribution Interface |
Namespace: Accord.Statistics.Distributions
The IUnivariateDistribution type exposes the following members.
Name | Description | |
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Entropy |
Gets entropy of the distribution.
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Mean |
Gets the mean value for the distribution.
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Median |
Gets the median value for the distribution.
| |
Mode |
Gets the mode value for the distribution.
| |
Quartiles |
Gets the Quartiles for this distribution.
| |
Support |
Gets the support interval for this distribution.
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Variance |
Gets the variance value for the distribution.
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Name | Description | |
---|---|---|
Clone | Creates a new object that is a copy of the current instance. (Inherited from ICloneable.) | |
ComplementaryDistributionFunction(Double) |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
(Inherited from IDistribution.) | |
ComplementaryDistributionFunction(Double) |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
| |
CumulativeHazardFunction |
Gets the cumulative hazard function for this
distribution evaluated at point x.
| |
DistributionFunction(Double) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) | |
DistributionFunction(Double) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
| |
DistributionFunction(Double, Double) |
Gets the cumulative distribution function (cdf) for this
distribution in the semi-closed interval (a; b] given as
P(a < X ≤ b).
| |
Fit(Array) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
Fit(Array, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
Fit(Array, Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
Fit(Array, Int32) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
Fit(Array, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
Fit(Array, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) | |
GetRange |
Gets the distribution range within a given percentile.
| |
HazardFunction |
Gets the hazard function, also known as the failure rate or
the conditional failure density function for this distribution
evaluated at point x.
| |
InverseDistributionFunction |
Gets the inverse of the cumulative distribution function (icdf) for
this distribution evaluated at probability p. This function
is also known as the Quantile function.
| |
LogCumulativeHazardFunction |
Gets the cumulative hazard function for this
distribution evaluated at point x.
| |
LogProbabilityFunction(Double) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistribution.) | |
LogProbabilityFunction(Double) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
| |
ProbabilityFunction(Double) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) | |
ProbabilityFunction(Double) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
| |
QuantileDensityFunction |
Gets the first derivative of the
inverse distribution function (icdf) for this distribution evaluated
at probability p.
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This interface is implemented by both univariate Discrete Distributions and Continuous Distributions.
For Multivariate distributions, see IMultivariateDistribution.